Data (A6DATA.csv): https://www.dropbox.com/s/gxa0yf2j7mnp1x4/A6DATA.csv?dl=0

Question 3

Develop logistic regression models with 60%/40%, 70%/30%, and 80%/20% partitioning into training and testing data sets using set.seed(222). Summarize training and testing accuracy, sensitivity and specificity for each and compare with 50%/50% performance using the table below. Recommend and comment on the best model for future use.

Partitioning

Accuracy % Sensitivity % Specificity %

Training - 50%

Testing - 50%

Training - 60%

Testing - 40%

Training - 70%

Testing - 30%

Training - 80%

Testing - 20%

Question 4

Compare the best and the worst logistic regression model in the previous question using ROC curve, AUC and best threshold values based on testing data. Discuss your results.